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  • Currently displaying 81 - 100 of 1981 publications
Flight of the Bumblebee: the Early Excess Flux of Type Ia Supernova 2023bee Revealed by TESS, Swift, and Young Supernova Experiment Observations
Q Wang, A Rest, G Dimitriadis, R Ridden-Harper, MR Siebert, M Magee, CR Angus, K Auchettl, KW Davis, RJ Foley, OD Fox, S Gomez, JE Jencson, DO Jones, CD Kilpatrick, JDR Pierel, AL Piro, A Polin, CA Politsch, C Rojas-Bravo, M Shahbandeh, VA Villar, Y Zenati, C Ashall, KC Chambers, DA Coulter, T de Boer, N DiLullo, C Gall, H Gao, EY Hsiao, ME Huber, L Izzo, N Khetan, N LeBaron, EA Magnier, KS Mandel, P McGill, HY Miao, YC Pan, CP Stevens, JJ Swift, K Taggart, G Yang
– The Astrophysical Journal
(2024)
962,
17
(doi: 10.3847/1538-4357/ad0edb)
Keck Infrared Transient Survey. I. Survey Description and Data Release 1
S Tinyanont, RJ Foley, K Taggart, KW Davis, N LeBaron, JE Andrews, MJ Bustamante-Rosell, Y Camacho-Neves, R Chornock, DA Coulter, L Galbany, SW Jha, CD Kilpatrick, LA Kwok, C Larison, JR Pierel, MR Siebert, G Aldering, K Auchettl, JS Bloom, S Dhawan, AV Filippenko, KD French, A Gagliano, M Grayling, DA Howell, WV Jacobson-Galán, DO Jones, X Le Saux, P Macias, KS Mandel, C McCully, E Padilla Gonzalez, A Rest, J Rho, C Rojas-Bravo, MF Skrutskie, S Thorp, Q Wang, SM Ward
– Publications of the Astronomical Society of the Pacific
(2024)
136,
014201
(doi: 10.1088/1538-3873/ad1b39)
Optimal subgroup selection
HWJ Reeve, TI Cannings, RJ Samworth
– Annals of Statistics
(2023)
51,
2342
(doi: 10.1214/23-aos2328)
Optimal nonparametric testing of Missing Completely At Random and its connections to compatibility
TB Berrett, RJ Samworth
– The Annals of Statistics
(2023)
51,
2170
(doi: 10.1214/23-aos2326)
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions
EK Huch, J Shi, MR Abbott, JR Golbus, A Moreno, WH Dempsey
(2023)
(link to publication)
Neural parameter calibration and uncertainty quantification for epidemic forecasting
T Gaskin, T Conrad, GA Pavliotis, C Schütte
(2023)
(link to publication)
Insights into technical challenges in the field of microplastic pollution through the lens of early career researchers (ECRs) and a proposed pathway forward
E Danopoulos, T Stanton, Y Ma, AA Horton, Q Chen, JM Levermore, J Li, AR McGoran, Y Lai, S Nolte, R Li, L Alvarez Barrantes, C Tu, H Beaumont, B Williams, MGJ Hartl, H Shi, JM Rotchell, HA Nel
– Frontiers in Earth Science
(2023)
11,
1271547
(doi: 10.3389/feart.2023.1271547)
Communication-Constrained Hypothesis Testing: Optimality, Robustness, and Reverse Data Processing Inequalities
A Pensia, V Jog, PL Loh
– IEEE Transactions on Information Theory
(2023)
70,
389
(doi: 10.1109/TIT.2023.3334024)
Avoiding methane emission rate underestimates when using the divergence method
C Roberts, R IJzermans, D Randell, M Jones, P Jonathan, K Mandel, B Hirst, O Shorttle
– Environmental Research Letters
(2023)
18,
114033
(doi: 10.1088/1748-9326/ad0252)
BIRD-SNACK: Bayesian inference of dust law RV distributions using SN Ia apparent colours at peak
SM Ward, S Dhawan, KS Mandel, M Grayling, S Thorp
– Monthly Notices of the Royal Astronomical Society
(2023)
526,
5715
(doi: 10.1093/mnras/stad3159)
Relative Intrinsic Scatter in Hierarchical Type Ia Supernova Sibling Analyses: Application to SNe 2021hpr, 1997bq, and 2008fv in NGC 3147
SM Ward, S Thorp, KS Mandel, S Dhawan, DO Jones, K Taggart, RJ Foley, G Narayan, KC Chambers, DA Coulter, KW Davis, T de Boer, K de Soto, N Earl, A Gagliano, H Gao, J Hjorth, ME Huber, L Izzo, D Langeroodi, EA Magnier, P McGill, A Rest, C Rojas-Bravo, R Wojtak
– The Astrophysical Journal
(2023)
956,
111
(doi: 10.3847/1538-4357/acf7bb)
Recent Methodological Advances in Federated Learning for Healthcare
F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, B Collaboration, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb, N Gleadall, M Roberts
(2023)
(doi: 10.48550/arxiv.2310.02874)
A randomized trial of a mobile health intervention to augment cardiac rehabilitation
JR Golbus, K Gupta, R Stevens, VSE Jeganathan, E Luff, J Shi, W Dempsey, T Boyden, B Mukherjee, S Kohnstamm, V Taralunga, V Kheterpal, S Murphy, P Klasnja, S Kheterpal, BK Nallamothu
– NPJ digital medicine
(2023)
6,
173
(doi: 10.1038/s41746-023-00921-9)
The impact of imputation quality on machine learning classifiers for datasets with missing values
T Shadbahr, M Roberts, J Stanczuk, J Gilbey, P Teare, S Dittmer, M Thorpe, RV Torné, E Sala, P Lió, M Patel, J Preller, AIX-COVNET Collaboration, JHF Rudd, T Mirtti, AS Rannikko, JAD Aston, J Tang, C-B Schönlieb
– Commun Med (Lond)
(2023)
3,
139
(doi: 10.1038/s43856-023-00356-z)
Confounder selection via iterative graph expansion
FR Guo, Q Zhao
(2023)
(link to publication)
Context-Tree Weighting and Bayesian Context Trees: Asymptotic and Non-Asymptotic Justifications
I Kontoyiannis
– IEEE Transactions on Information Theory
(2023)
70,
1204
(doi: 10.1109/TIT.2023.3313114)
Effectiveness of international border control measures during the COVID-19 pandemic: a narrative synthesis of published systematic reviews
KA Grépin, J Aston, J Burns
– Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
(2023)
381,
20230134
(doi: 10.1098/rsta.2023.0134)
Average partial effect estimation using double machine learning
H Klyne, RD Shah
(2023)
(link to publication)
Functional unknomics: Systematic screening of conserved genes of unknown function
JJ Rocha, SA Jayaram, TJ Stevens, N Muschalik, RD Shah, S Emran, C Robles, M Freeman, S Munro
– PLoS Biology
(2023)
21,
e3002222
(doi: 10.1371/journal.pbio.3002222)
Common methodological pitfalls in ICI pneumonitis risk prediction studies
YK Chen, S Welsh, AM Pillay, B Tannenwald, K Bliznashki, E Hutchison, JAD Aston, C-B Schönlieb, JHF Rudd, J Jones, M Roberts
– Frontiers in immunology
(2023)
14,
1228812
(doi: 10.3389/fimmu.2023.1228812)

Frontpage talks

06
Jun
14:00 - 15:00: Title to be confirmed
Statistics
Yuansi Chen (ETH Zurich)
Cambridge Statistics Clinic
Speaker to be confirmed
13
Jun
14:00 - 15:00: Title to be confirmed
Statistics
Yining Chen (LSE)

    Study at Cambridge

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    Research at Cambridge